The Cumulative Sum Chart for process control is designed to detect rel
atively small shifts in the mean of the process variable. In this pape
r, we show that by using samples of two different sizes, rather than a
fixed sample, improvements in the chart's ability to detect small shi
fts are possible. These improvements are obtained without increasing t
he likelihood of a false alarm when the process mean is on target. The
average run length values for the adaptive sample scheme are compared
to those for a fixed sample scheme for different magnitudes of shifts
in the process mean. A fast initial response scheme is presented. An
example from a manufacturing process is used to illustrate the advanta
ges of the adaptive sampling scheme.